AMD Radeon Instinct MI6
About GPU
The AMD Radeon Instinct MI6 is a professional-grade GPU that offers impressive performance for a variety of compute-intensive tasks. With a base clock of 1120MHz and a boost clock of 1233MHz, this GPU delivers fast and reliable processing power for demanding applications. The 8GB of GDDR5 memory, with a memory clock of 1750MHz, provides ample resources for handling large data sets and complex calculations.
One of the standout features of the Radeon Instinct MI6 is its 2304 shading units, which enable it to efficiently handle parallel processing tasks. Additionally, the 2MB of L2 cache helps to further accelerate data access and processing, resulting in smooth and efficient performance.
With a TDP of 150W, the Radeon Instinct MI6 strikes a good balance between power consumption and performance, making it a viable option for a range of workstation and server configurations. The theoretical performance of 5.796 TFLOPS ensures that this GPU can handle demanding workloads with ease, making it well-suited for professional applications such as machine learning, data analytics, and scientific simulations.
Overall, the AMD Radeon Instinct MI6 is a capable and reliable GPU that offers impressive performance for professional computing tasks. Its combination of high-speed processing, generous memory capacity, and efficient power consumption make it a compelling choice for users in need of a powerful and versatile computing solution.
Basic
Label Name
AMD
Platform
Professional
Launch Date
December 2016
Model Name
Radeon Instinct MI6
Generation
Radeon Instinct
Base Clock
1120MHz
Boost Clock
1233MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
1750MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
224.0 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
39.46 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
177.6 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
5.682 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
355.1 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
5.796
TFLOPS
Miscellaneous
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
2304
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
150W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.2
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
5.796
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS